Certificado AgentReady.md verificado

Emitido el 18 may 2026, 9:36 sig: adc06a7767caa47d Verificar →

URL analizada

https://www.agentport.dev/

Analizar otra URL

Puntuación AI-Ready

57 / D

Deficiente

de 100

Ahorro de tokens

Tokens HTML 41.747

Tokens Markdown 1530

Ahorro 96%

Desglose de la puntuación

HTML semántico 79/100

Eficiencia del contenido 52/100

Visibilidad para IA 15/100

Datos estructurados 62/100

Accesibilidad 100/100

Protocolos emergentes

0 de 3 detectados

Endpoints well-known que los AI agents buscan. Detectados significa que un agente puede descubrir y conectar con tu servicio automáticamente.

OAuth Discovery RFC 8414
/.well-known/oauth-authorization-server
MCP Server Card Anthropic
/.well-known/mcp.json
A2A Agent Card Google
/.well-known/agent.json

Tu sitio no tiene un archivo llms.txt. Este es el estándar emergente para ayudar a los AI agents a comprender la estructura de tu sitio.

Cómo implementarlo

Crea un archivo /llms.txt siguiendo la especificación de llmstxt.org. Incluye una descripción del sitio y enlaces a tus páginas principales.

Tu página tiene un bajo ratio de contenido real respecto al HTML total. Gran parte del peso de la página es marcado, scripts o estilos en lugar de contenido.

Cómo implementarlo

Mueve el CSS a hojas de estilo externas, elimina los estilos en línea, minimiza el JavaScript y asegúrate de que el HTML se centre en la estructura del contenido.

Tu sitio no soporta Markdown for Agents. Este estándar de Cloudflare permite a los agentes IA solicitar contenido en formato markdown, reduciendo el uso de tokens en ~80%.

Cómo implementarlo

Implementa uno o más: (1) Responder a Accept: text/markdown con contenido markdown. (2) Servir URLs .md (ej: /pagina.md). (3) Añadir etiquetas <link rel="alternate" type="text/markdown">. (4) Añadir cabeceras HTTP Link para descubrimiento markdown.

{\n res.setHeader('Vary', 'Accept');\n res.setHeader('Link', '; rel=\"alternate\"; type=\"text/markdown\"');\n if ((req.headers.accept || '').includes('text/markdown')) {\n res.type('text/markdown; charset=utf-8');\n return res.send(renderMarkdown('page'));\n }\n res.render('page');\n});"},{"id":"fastify","label":"Fastify","language":"javascript","filename":"server.js","code":"// Mechanisms 1 + 4: content negotiation + Link header\nfastify.get('/page', async (req, reply) => {\n reply.header('Vary', 'Accept');\n reply.header('Link', '; rel=\"alternate\"; type=\"text/markdown\"');\n if ((req.headers.accept || '').includes('text/markdown')) {\n return reply.type('text/markdown; charset=utf-8').send(renderMarkdown('page'));\n }\n return reply.view('/page.ejs');\n});"},{"id":"nextjs","label":"Next.js","language":"typescript","filename":"app/page/route.ts","code":"// Next.js App Router — Route Handler returning Markdown\nimport { NextRequest } from 'next/server';\nimport { renderMarkdown } from '@/lib/md';\nexport async function GET(req: NextRequest) {\n const accept = req.headers.get('accept') || '';\n if (accept.includes('text/markdown')) {\n return new Response(await renderMarkdown('page'), {\n headers: {\n 'Content-Type': 'text/markdown; charset=utf-8',\n 'Vary': 'Accept',\n },\n });\n }\n // Fall through to the page component\n return new Response(null, { status: 404 });\n}"},{"id":"wordpress","label":"WordPress","language":"php","filename":"functions.php","code":"post_content));\n exit;\n});"},{"id":"static","label":"Hugo / Jekyll / Astro","language":"txt","filename":"static/page.md","code":"# Mechanism 2: serve .md alongside .html\n# Hugo: place page.md in /static/ — built unchanged\n# Jekyll: drop page.md in /assets/ — copied as-is\n# Astro: src/pages/page.md.ts that exports a GET returning markdown\n\n# Then advertise with mechanism 3 in :\n# "}] }'>

Tu sitio no tiene un archivo robots.txt. Este archivo controla cómo los bots (incluidos los AI agents) acceden a tu sitio.

Cómo implementarlo

Crea un archivo /robots.txt que permita el acceso a tus páginas de contenido. Incluye una directiva Sitemap apuntando a tu sitemap.xml.

No se encontró un sitemap. Un sitemap ayuda a los AI agents a descubrir todas las páginas de tu sitio.

Cómo implementarlo

Crea un /sitemap.xml con todas tus páginas públicas. La mayoría de los CMS pueden generarlo automáticamente.

No se encontraron directivas Content-Signal. Estas indican a los agentes IA cómo pueden usar tu contenido (indexación, entrada IA, datos de entrenamiento). La ubicación recomendada es robots.txt.

Cómo implementarlo

Añade Content-Signal a tu robots.txt: User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no. También puedes añadirlo como cabecera HTTP en respuestas markdown.

{\n res.setHeader('Content-Signal', 'search=yes, ai-input=yes, ai-train=no');\n next();\n});\n\n// Fastify\nfastify.addHook('onSend', (request, reply, payload, done) => {\n reply.header('Content-Signal', 'search=yes, ai-input=yes, ai-train=no');\n done();\n});"}] }'>

Muchos elementos tienen atributos de estilo en línea. Estos añaden ruido para los AI agents al extraer contenido.

Cómo implementarlo

Mueve todos los estilos en línea a clases CSS en tu hoja de estilos. Usa frameworks de CSS utilitario como Tailwind si necesitas muchos estilos únicos.

No se encontraron datos estructurados de Schema.org. JSON-LD ayuda a los AI agents a extraer información factual y estructurada de tus páginas.

Cómo implementarlo

Añade un bloque <script type="application/ld+json"> con marcado Schema.org. Usa los tipos apropiados: Article para entradas de blog, Product para productos, Organization para la página de tu empresa.

Tu página depende en gran medida de elementos <div>. Los elementos semánticos como <section>, <nav>, <header>, <footer> y <aside> proporcionan una estructura significativa para los AI agents.

Cómo implementarlo

Reemplaza los contenedores <div> genéricos con los elementos semánticos apropiados. Usa <section> para grupos temáticos, <nav> para navegación, <header>/<footer> para cabeceras y pies de página o sección.

Faltan etiquetas Open Graph o están incompletas. Las etiquetas OG ayudan a los AI agents (y plataformas sociales) a comprender el título, la descripción y la imagen de tu página.

Cómo implementarlo

Añade las meta etiquetas og:title, og:description y og:image en el <head> de tu página.

post_content), 30);\n $image = get_the_post_thumbnail_url($post, 'large') ?: 'https://yoursite.com/og-image.jpg';\n $url = get_permalink($post);\n printf('' . \"\\n\", esc_attr($title));\n printf('' . \"\\n\", esc_attr($desc));\n printf('' . \"\\n\", esc_url($image));\n printf('' . \"\\n\", esc_url($url));\n echo '' . \"\\n\";\n}, 5);"},{"id":"nextjs","label":"Next.js","language":"typescript","filename":"app/page.tsx","code":"// Next.js App Router — Metadata API\nimport type { Metadata } from 'next';\n\nexport const metadata: Metadata = {\n title: \"AgentPort — MCP Infrastructure-as-a-Service\",\n description: \"Convert your Shopify store, product catalog, or custom API into AI agent-ready MCP tools in 5 minutes.\",\n openGraph: {\n title: \"AgentPort — MCP Infrastructure-as-a-Service\",\n description: \"Convert your Shopify store, product catalog, or custom API into AI agent-ready MCP tools in 5 minutes.\",\n url: \"https://www.agentport.dev/\",\n images: [\"https://yoursite.com/og-image.jpg\"],\n type: 'website',\n },\n};"}] }'>

Tokens Markdown: 1530

MCP Infrastructure-as-a-Service — Now in early access

## Your business.
Agent-native.
In 5 minutes.

Convert your Shopify store, product catalog, or custom API into AI agent-ready MCP tools. Works with Claude, ChatGPT, Chrome AI, and Google AI Mode.

SOC 2 compliant99.9% uptime SLAWorks with Claude & ChatGPTNo code changes neededFree tier available

## The web is being re-indexed. By AI agents.

- AI agents can't read your Shopify store
- ChatGPT can't add to cart for your customers
- Your products are invisible to Claude
- Browser AI skips right past your website

AgentPort

- Claude searches your catalog natively
- ChatGPT completes purchases in your store
- Google AI Mode recommends your listings
- Browser AI agents transact on your site

Projected 20260%

of product searches now start in AI chatbots, not Google.

Projected 20260

e-commerce transactions will be AI-agent initiated.

Projected 20260%

of websites have any MCP support today.

## Deploy in 4 steps. No engineers needed.

### Sign up & name your endpoint

Enter your business name. We derive your unique slug (e.g., 'Acme Shoes' → acme-shoes) and show you your future MCP endpoint: https://agentport.dev/api/acme-shoes/mcp

### Connect your data source

Choose from Shopify, Product Feed (CSV/JSON/XML), MongoDB, or Custom REST API. Paste your credentials. We handle the rest.

### Tools are auto-generated

AgentPort analyzes your connector capabilities and generates MCP tools — product search, inventory check, cart creation, checkout — with LLM-tested descriptions validated across Claude, GPT-4o, and Gemini.

### Go live on every AI platform

Copy your three integration artifacts — MCP endpoint, WebMCP script, UCP profile — and you’re live everywhere AI agents operate.

Making any website agent-ready

Agentport

.dev

WebMCP as a Service

🌐

WebMCP

Live

Browser-native agent tools via Chrome's WebMCP standard

📦

Product Feed MCP

Coming Soon

Structured catalog ingestion from any product feed or API

🛒

Checkout MCP

Coming Soon

Cart, shipping & order management for AI agents

💳

Payments MCP

Coming Soon

PCI-compliant payment flows via merchant's existing PSP

🧪

Agent Sim

Coming Soon

Test & simulate AI agent interactions before production

One integration → WebMCP + Backend MCP + UCP

agentport.dev

WebMCP

Browser Agents

Backend MCP

ChatGPT · Claude · Gemini

UCP

Google Commerce

## Connect anything. Auto-generate everything.

Pick a connector, supply your credentials, and AgentPort builds production-ready MCP tools automatically.

### Shopify

HTML semántico

Usa elementos article o main (100/100)

Has <main>

Jerarquía de encabezados correcta (85/100)

1 heading level skip(s)

Usa elementos HTML semánticos (16/100)

16 semantic elements, 310 divs (ratio: 5%)

Textos alternativos descriptivos en imágenes (100/100)

No images found

Poca profundidad de anidamiento de divs (100/100)

Avg div depth: 2.8, max: 6

Eficiencia del contenido

Buen ratio de reducción de tokens (100/100)

96% token reduction (HTML→Markdown)

Buen ratio de contenido frente a ruido (0/100)

Content ratio: 4.7% (5797 content chars / 124390 HTML bytes)

Estilos en línea mínimos (0/100)

149/1202 elements with inline styles (12.4%)

Peso de página razonable (80/100)

HTML size: 121KB

Visibilidad para IA

Tiene archivo llms.txt (0/100)

No llms.txt found

Tiene archivo robots.txt (0/100)

No robots.txt found

robots.txt permite bots de IA (100/100)

No robots.txt — AI bots allowed by default

Tiene sitemap.xml (0/100)

No sitemap found

Soporte de Markdown for Agents (0/100)

✗ Accept: text/markdown ✗ .md URL ✗ <link> tag ✗ Link header

Tiene Content-Signal (robots.txt o cabeceras HTTP) (0/100)

✓ robots.txt ✓ HTTP header ✗ Policy

Datos estructurados

Tiene Schema.org / JSON-LD (0/100)

No JSON-LD / Schema.org found

Tiene etiquetas Open Graph (67/100)

2/3 OG tags present

Tiene meta description (100/100)

Meta description: 161 chars

Tiene URL canónica (100/100)

Canonical URL present

Tiene atributo lang (100/100)

lang="en"

Accesibilidad

Contenido disponible sin JavaScript (100/100)

Content available without JavaScript

Tamaño de página razonable (100/100)

Page size: 121KB

El contenido aparece temprano en el HTML (100/100)

Main content starts at 2% of HTML

{
  "url": "https://www.agentport.dev/",
  "timestamp": 1779089767752,
  "fetch": {
    "mode": "simple",
    "timeMs": 602,
    "htmlSizeBytes": 124390,
    "supportsMarkdown": false,
    "markdownAgents": {
      "contentNegotiation": false,
      "mdUrl": {
        "found": false,
        "url": null
      },
      "linkTag": {
        "found": false,
        "url": null
      },
      "linkHeader": {
        "found": false,
        "url": null
      },
      "responseHeaders": {
        "contentSignal": null,
        "xMarkdownTokens": null,
        "vary": null
      },
      "frontmatter": {
        "present": false,
        "fields": [],
        "level": "none"
      },
      "level": "none"
    },
    "statusCode": 200
  },
  "extraction": {
    "title": "AgentPort — MCP Infrastructure-as-a-Service",
    "excerpt": "Convert your Shopify store, product catalog, or custom API into AI agent-ready MCP tools in 5 minutes.",
    "byline": null,
    "siteName": "AgentPort",
    "lang": "en",
    "contentLength": 5797,
    "metadata": {
      "description": "Convert your Shopify store, product catalog, or custom API into AI agent-ready MCP tools in 5 minutes. Works with Claude, ChatGPT, Chrome AI, and Google AI Mode.",
      "ogTitle": "AgentPort — MCP Infrastructure-as-a-Service",
      "ogDescription": "Convert your Shopify store, product catalog, or custom API into AI agent-ready MCP tools in 5 minutes.",
      "ogImage": null,
      "ogType": "website",
      "canonical": "https://agentport.dev",
      "lang": "en",
      "schemas": [],
      "robotsMeta": null,
      "author": null,
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    }
  },
  "markdown": "MCP Infrastructure-as-a-Service — Now in early access\n\n## Your business.\nAgent-native.\nIn 5 minutes.\n\nConvert your Shopify store, product catalog, or custom API into AI agent-ready MCP tools. Works with Claude, ChatGPT, Chrome AI, and Google AI Mode.\n\nSOC 2 compliant99.9% uptime SLAWorks with Claude & ChatGPTNo code changes neededFree tier available\n\n## The web is being re-indexed. By AI agents.\n\n-   AI agents can't read your Shopify store\n-   ChatGPT can't add to cart for your customers\n-   Your products are invisible to Claude\n-   Browser AI skips right past your website\n\nVS\n\nAgentPort\n\n-   Claude searches your catalog natively\n-   ChatGPT completes purchases in your store\n-   Google AI Mode recommends your listings\n-   Browser AI agents transact on your site\n\nProjected 20260%\n\nof product searches now start in AI chatbots, not Google.\n\nProjected 20260\n\ne-commerce transactions will be AI-agent initiated.\n\nProjected 20260%\n\nof websites have any MCP support today.\n\n## Deploy in 4 steps. No engineers needed.\n\n1\n\n### Sign up & name your endpoint\n\nEnter your business name. We derive your unique slug (e.g., 'Acme Shoes' → acme-shoes) and show you your future MCP endpoint: https://agentport.dev/api/acme-shoes/mcp\n\n2\n\n### Connect your data source\n\nChoose from Shopify, Product Feed (CSV/JSON/XML), MongoDB, or Custom REST API. Paste your credentials. We handle the rest.\n\n3\n\n### Tools are auto-generated\n\nAgentPort analyzes your connector capabilities and generates MCP tools — product search, inventory check, cart creation, checkout — with LLM-tested descriptions validated across Claude, GPT-4o, and Gemini.\n\n4\n\n### Go live on every AI platform\n\nCopy your three integration artifacts — MCP endpoint, WebMCP script, UCP profile — and you’re live everywhere AI agents operate.\n\nMaking any website agent-ready\n\nAgentport\n\n.dev\n\nWebMCP as a Service\n\n🌐\n\nWebMCP\n\nLive\n\nBrowser-native agent tools via Chrome's WebMCP standard\n\n📦\n\nProduct Feed MCP\n\nComing Soon\n\nStructured catalog ingestion from any product feed or API\n\n🛒\n\nCheckout MCP\n\nComing Soon\n\nCart, shipping & order management for AI agents\n\n💳\n\nPayments MCP\n\nComing Soon\n\nPCI-compliant payment flows via merchant's existing PSP\n\n🧪\n\nAgent Sim\n\nComing Soon\n\nTest & simulate AI agent interactions before production\n\nOne integration → WebMCP + Backend MCP + UCP\n\nagentport.dev\n\nWebMCP\n\nBrowser Agents\n\nBackend MCP\n\nChatGPT · Claude · Gemini\n\nUCP\n\nGoogle Commerce\n\n## Connect anything. Auto-generate everything.\n\nPick a connector, supply your credentials, and AgentPort builds production-ready MCP tools automatically.\n\n### Shopify\n\nMost Popular\n\nConnect your Shopify store with your Admin API token. AgentPort integrates with both the Admin REST API and Storefront GraphQL API.\n\nHighlight\n\nFull transactional — agents can actually complete purchases.\n\nAuto-generates\n\n6 tools (search, details, inventory, create cart, add to cart, checkout URL)\n\nSetup time2 minutes\n\nWooCommerce, Magento, BigCommerce, and Salesforce Commerce Cloud coming soon. [Join the waitlist](https://www.agentport.dev/#)\n\n## Production tools. Zero description writing.\n\nEvery auto-generated tool ships with LLM-optimized descriptions, strict input schemas, and anti-hallucination prompting.\n\nLLM-tested descriptions. All tool descriptions are validated for ≥90% correct first-attempt invocation on GPT-4o, Claude 3.5, and Gemini.\n\nAnti-hallucination prompting built in — agents are instructed not to assume filters the user never mentioned.\n\n## One setup. Every AI platform.\n\nOther tools give you one integration. AgentPort gives you three.\n\nNo other platform gives you all three. Most tools stop at one protocol and leave the rest of the AI web invisible to you.\n\nPOC · Live on AgentPort\n\n## Live proof: CribLiv, India's first AI-native rental marketplace\n\nCribLiv is a verified rental marketplace in Bangalore. Using AgentPort, they deployed six MCP tools that let AI agents search listings, compare properties, check availability, and book visits — without writing a single line of integration code.\n\n> “A tenant told Claude: ‘Find me a verified 2BHK in Koramangala under ₹25,000 with AC and parking.’ The agent called search\\_properties → get\\_property\\_details → compare\\_properties → schedule\\_visit. A visit was booked. Nothing else needed.”\n\n6\n\nMCP tools deployed\n\n0\n\nlines of code\n\n1\n\nWorking visit booking\n\n## Works everywhere agents live.\n\nClaude\n\nvia MCP Streamable HTTP\n\nClaude Desktop\n\nvia claude\\_desktop\\_config.json\n\nChatGPT\n\nvia OpenAI Responses API\n\nChrome AI\n\nvia WebMCP script tag\n\nGoogle AI Mode\n\nvia UCP submission\n\nGemini\n\nvia UCP profile\n\nCursor\n\nvia MCP\n\nWindsurf\n\nvia MCP\n\nAny MCP Client\n\nvia Streamable HTTP\n\nAgentPort uses the OpenAI Responses API — NOT the deprecated Assistants API (shutting down August 2026). Future-proof from day one.\n\n## A dashboard built for merchants, not engineers.\n\n4 screens from zero to live MCP endpoint. Business name, connector choice, review, deploy. Your endpoint is ready before you finish your coffee.\n\n1\n\nBusiness Info\n\n2\n\nConnector\n\n3\n\nReview\n\n4\n\nDeploy\n\nBusiness Name\n\nAcme Shoes\n\nIndustry\n\nE-commerce\n\nNext Step\n\n## Enterprise-grade infrastructure. Startup simplicity.\n\nAI Agent\n\nAgentPort MCP Server\n\nKernel Packages\n\nSupabase PostgreSQL\n\nExternal APIs\n\n## Simple pricing. Generous free tier.\n\nFREE\n\n### Explorer\n\n$0/month\n\nNo credit card\n\n-   1 tenant (1 business)\n-   1,000 tool calls / day\n-   Shopify + Feed connectors\n-   MCP endpoint\n-   WebMCP script\n-   UCP profile\n-   Community support\n\n[Start free →](https://www.agentport.dev/#)\n\nMOST POPULAR\n\nPRO\n\n### Builder\n\n$49/month\n\n-   3 tenants\n-   10,000 tool calls / day\n-   All connectors (incl. MongoDB + Custom API)\n-   Priority support\n-   Analytics dashboard\n-   Custom tool builder\n-   Visit requests (real estate)\n\n[Start 14-day trial →](https://www.agentport.dev/#)\n\nENTERPRISE\n\n### Scale\n\nCustom\n\n-   Unlimited tenants\n-   Unlimited tool calls\n-   Custom connectors\n-   Dedicated infrastructure\n-   SLA + uptime guarantee\n-   White-label option\n-   Dedicated support\n\n[Contact us →](https://www.agentport.dev/#)\n\nAll plans include MCP + WebMCP + UCP — three protocols, zero extra cost.\n\n## The AI agent economy is here. Is your business in it?\n\nMost websites are invisible to AI agents today. In 12 months, that's a 40% traffic problem. AgentPort fixes it in 5 minutes.\n\nJoin 200+ merchants on the early access waitlist.\n\n🔒 No spam. Magic link only. Cancel anytime.\n",
  "fullPageMarkdown": "AgentPort — MCP Infrastructure-as-a-Service\n\n🔌MCP Infrastructure-as-a-Service — Now in early access\n\n# Your business.\nAgent-native.\nIn 5 minutes.\n\nConvert your Shopify store, product catalog, or custom API into AI agent-ready MCP tools. Works with Claude, ChatGPT, Chrome AI, and Google AI Mode.\n\n[Get started free](https://www.agentport.dev/#)[Watch demo](https://www.agentport.dev/#)\n\nSOC 2 compliant99.9% uptime SLAWorks with Claude & ChatGPTNo code changes neededFree tier available\n\nterminal\n\n|\n\n## The web is being re-indexed. By AI agents.\n\n### Before AgentPort\n\n-   AI agents can't read your Shopify store\n-   ChatGPT can't add to cart for your customers\n-   Your products are invisible to Claude\n-   Browser AI skips right past your website\n\nVS\n\nAgentPort\n\n### After AgentPort\n\n-   Claude searches your catalog natively\n-   ChatGPT completes purchases in your store\n-   Google AI Mode recommends your listings\n-   Browser AI agents transact on your site\n\nProjected 20260%\n\nof product searches now start in AI chatbots, not Google.\n\nProjected 20260\n\ne-commerce transactions will be AI-agent initiated.\n\nProjected 20260%\n\nof websites have any MCP support today.\n\n## Deploy in 4 steps. No engineers needed.\n\n1\n\n### Sign up & name your endpoint\n\nEnter your business name. We derive your unique slug (e.g., 'Acme Shoes' → acme-shoes) and show you your future MCP endpoint: https://agentport.dev/api/acme-shoes/mcp\n\n2\n\n### Connect your data source\n\nChoose from Shopify, Product Feed (CSV/JSON/XML), MongoDB, or Custom REST API. Paste your credentials. We handle the rest.\n\n3\n\n### Tools are auto-generated\n\nAgentPort analyzes your connector capabilities and generates MCP tools — product search, inventory check, cart creation, checkout — with LLM-tested descriptions validated across Claude, GPT-4o, and Gemini.\n\n4\n\n### Go live on every AI platform\n\nCopy your three integration artifacts — MCP endpoint, WebMCP script, UCP profile — and you’re live everywhere AI agents operate.\n\nMaking any website agent-ready\n\nAgentport\n\n.dev\n\nWebMCP as a Service\n\n🌐\n\nWebMCP\n\nLive\n\nBrowser-native agent tools via Chrome's WebMCP standard\n\n📦\n\nProduct Feed MCP\n\nComing Soon\n\nStructured catalog ingestion from any product feed or API\n\n🛒\n\nCheckout MCP\n\nComing Soon\n\nCart, shipping & order management for AI agents\n\n💳\n\nPayments MCP\n\nComing Soon\n\nPCI-compliant payment flows via merchant's existing PSP\n\n🧪\n\nAgent Sim\n\nComing Soon\n\nTest & simulate AI agent interactions before production\n\nOne integration → WebMCP + Backend MCP + UCP\n\nagentport.dev\n\nWebMCP\n\nBrowser Agents\n\nBackend MCP\n\nChatGPT · Claude · Gemini\n\nUCP\n\nGoogle Commerce\n\n## Connect anything. Auto-generate everything.\n\nPick a connector, supply your credentials, and AgentPort builds production-ready MCP tools automatically.\n\nShopify\n\nMost Popular\n\nProduct Feed\n\nConnector\n\nCustom REST API\n\nConnector\n\nMongoDB\n\nBeta\n\nManual Tool Builder\n\nConnector\n\n### ShopifyMost Popular\n\nConnect your Shopify store with your Admin API token. AgentPort integrates with both the Admin REST API and Storefront GraphQL API.\n\nHighlight\n\nFull transactional — agents can actually complete purchases.\n\nAuto-generates\n\n6 tools (search, details, inventory, create cart, add to cart, checkout URL)\n\nSetup time2 minutes\n\nWooCommerce, Magento, BigCommerce, and Salesforce Commerce Cloud coming soon. [Join the waitlist](https://www.agentport.dev/#)\n\n## Production tools. Zero description writing.\n\nEvery auto-generated tool ships with LLM-optimized descriptions, strict input schemas, and anti-hallucination prompting.\n\nE-commerceReal Estate / Rentals\n\nmcp-tool-explorer\n\nE-commerce Tools (6)\n\nsearch\\_productsget\\_product\\_detailscheck\\_inventorycreate\\_cartwriteadd\\_to\\_cartwriteget\\_checkout\\_urlwrite\n\nRead-onlyTransactional\n\nMCP Tool DefinitionRead-only\n\n```\n{\n  \"name\": \"search_products\",\n  \"description\": \"Search catalog by keyword, category, price range. Call this before get_product_details.\",\n  \"inputSchema\": {\n    \"type\": \"object\",\n    \"properties\": {\n      \"query\": {\n        \"type\": \"string\"\n      },\n      \"category\": {\n        \"type\": \"string\"\n      },\n      \"min_price\": {\n        \"type\": \"number\"\n      },\n      \"max_price\": {\n        \"type\": \"number\"\n      }\n    },\n    \"required\": [\n      \"query\"\n    ]\n  }\n}\n```\n\nLLM-tested descriptions. All tool descriptions are validated for ≥90% correct first-attempt invocation on GPT-4o, Claude 3.5, and Gemini.\n\nAnti-hallucination prompting built in — agents are instructed not to assume filters the user never mentioned.\n\n## One setup. Every AI platform.\n\nOther tools give you one integration. AgentPort gives you three.\n\nMCP Streamable HTTP Endpoint\n\n### For Claude, ChatGPT, and any MCP client\n\nYour personal MCP server, hosted and managed. Works with Claude Desktop, Claude.ai Projects, ChatGPT via OpenAI Responses API, and any MCP-compatible tool.\n\n// claude\\_desktop\\_config.json\n{\n  \"mcpServers\": {\n    \"acme-shoes\": {\n      \"url\": \"https://agentport.dev/api/acme-shoes/mcp\",\n      \"headers\": {\n        \"Authorization\": \"Bearer ap\\_live\\_xxxx\"\n      }\n    }\n  }\n}\n\nClaudeChatGPTCursorMCP Clients\n\nAuthenticated endpoint. API key scoped per-client for full audit trail.\n\nWebMCP Browser Script\n\n### For Chrome browser AI (Chrome 146+)\n\nA single script tag makes your website's tools available to any browser AI agent. Zero authentication required.\n\n<!-- Add to your website's <head> -->\n<script\n  src=\"https://agentport.dev/api/acme-shoes/webmcp.js\"\n  defer\n></script>\n\nChrome AIWebMCP\n\nZero-auth public endpoint. Browser agents discover and call your tools directly.\n\nUniversal Context Profile (UCP)\n\n### For Google AI Mode & Gemini\n\nA structured machine-readable profile that Google's AI Mode and Gemini use to recommend your products.\n\n\\# Submit to Google Search Console\nGET https://agentport.dev/api/acme-shoes/ucp\n\n# Returns structured JSON profile:\n# - Business info\n# - Product catalog summary\n# - Available MCP tools\n# - Commerce capabilities\n\nGoogle AI ModeGemini\n\nGoogle AI Mode is already indexing UCP profiles.\n\nNo other platform gives you all three. Most tools stop at one protocol and leave the rest of the AI web invisible to you.\n\nPOC · Live on AgentPort\n\n## Live proof: CribLiv, India's first AI-native rental marketplace\n\nCribLiv is a verified rental marketplace in Bangalore. Using AgentPort, they deployed six MCP tools that let AI agents search listings, compare properties, check availability, and book visits — without writing a single line of integration code.\n\n> “A tenant told Claude: ‘Find me a verified 2BHK in Koramangala under ₹25,000 with AC and parking.’ The agent called search\\_properties → get\\_property\\_details → compare\\_properties → schedule\\_visit. A visit was booked. Nothing else needed.”\n\n6\n\nMCP tools deployed\n\n0\n\nlines of code\n\n1\n\nWorking visit booking\n\nClaude\n\n## Works everywhere agents live.\n\nClaude\n\nvia MCP Streamable HTTP\n\nClaude Desktop\n\nvia claude\\_desktop\\_config.json\n\nChatGPT\n\nvia OpenAI Responses API\n\nChrome AI\n\nvia WebMCP script tag\n\nGoogle AI Mode\n\nvia UCP submission\n\nGemini\n\nvia UCP profile\n\nCursor\n\nvia MCP\n\nWindsurf\n\nvia MCP\n\nAny MCP Client\n\nvia Streamable HTTP\n\nAgentPort uses the OpenAI Responses API — NOT the deprecated Assistants API (shutting down August 2026). Future-proof from day one.\n\n## A dashboard built for merchants, not engineers.\n\nOnboarding WizardTool ManagerConnector SetupIntegration HubAnalyticsVisit Requests\n\n### Onboarding Wizard\n\n4 screens from zero to live MCP endpoint. Business name, connector choice, review, deploy. Your endpoint is ready before you finish your coffee.\n\n1\n\nBusiness Info\n\n2\n\nConnector\n\n3\n\nReview\n\n4\n\nDeploy\n\nBusiness Name\n\nAcme Shoes\n\nIndustry\n\nE-commerce\n\nNext Step\n\n## Enterprise-grade infrastructure. Startup simplicity.\n\nAI Agent\n\nAgentPort MCP Server\n\nKernel Packages\n\nSupabase PostgreSQL\n\nExternal APIs\n\nShow architecture details\n\n## Simple pricing. Generous free tier.\n\nFREE\n\n### Explorer\n\n$0/month\n\nNo credit card\n\n-   1 tenant (1 business)\n-   1,000 tool calls / day\n-   Shopify + Feed connectors\n-   MCP endpoint\n-   WebMCP script\n-   UCP profile\n-   Community support\n\n[Start free →](https://www.agentport.dev/#)\n\nMOST POPULAR\n\nPRO\n\n### Builder\n\n$49/month\n\n-   3 tenants\n-   10,000 tool calls / day\n-   All connectors (incl. MongoDB + Custom API)\n-   Priority support\n-   Analytics dashboard\n-   Custom tool builder\n-   Visit requests (real estate)\n\n[Start 14-day trial →](https://www.agentport.dev/#)\n\nENTERPRISE\n\n### Scale\n\nCustom\n\n-   Unlimited tenants\n-   Unlimited tool calls\n-   Custom connectors\n-   Dedicated infrastructure\n-   SLA + uptime guarantee\n-   White-label option\n-   Dedicated support\n\n[Contact us →](https://www.agentport.dev/#)\n\nAll plans include MCP + WebMCP + UCP — three protocols, zero extra cost.\n\n## Frequently asked questions\n\nWhat is MCP and why does it matter?\n\nDo I need to know how to code?\n\nHow is AgentPort different from building my own MCP server?\n\nWhat about ChatGPT — I heard the Assistants API is deprecated?\n\nWhat is WebMCP and UCP?\n\nIs my data safe? Are my API credentials secure?\n\nCan I use this for non-ecommerce businesses?\n\nWhat happens when I hit my tool call limit?\n\n## The AI agent economy is here. Is your business in it?\n\nMost websites are invisible to AI agents today. In 12 months, that's a 40% traffic problem. AgentPort fixes it in 5 minutes.\n\nGet early access →\n\nJoin 200+ merchants on the early access waitlist.\n\n🔒 No spam. Magic link only. Cancel anytime.\n",
  "markdownStats": {
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        "checks": {
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          "meaningful_alt_texts": {
            "score": 100,
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        "checks": {
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            "details": "96% token reduction (HTML→Markdown)"
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          "content_to_noise_ratio": {
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          "minimal_inline_styles": {
            "score": 0,
            "weight": 15,
            "details": "149/1202 elements with inline styles (12.4%)"
          },
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      "aiDiscoverability": {
        "score": 15,
        "weight": 25,
        "grade": "F",
        "checks": {
          "has_llms_txt": {
            "score": 0,
            "weight": 20,
            "details": "No llms.txt found"
          },
          "has_robots_txt": {
            "score": 0,
            "weight": 10,
            "details": "No robots.txt found"
          },
          "robots_allows_ai_bots": {
            "score": 100,
            "weight": 15,
            "details": "No robots.txt — AI bots allowed by default"
          },
          "has_sitemap": {
            "score": 0,
            "weight": 10,
            "details": "No sitemap found"
          },
          "supports_markdown_negotiation": {
            "score": 0,
            "weight": 25,
            "details": "No Markdown for Agents support detected"
          },
          "has_content_signals": {
            "score": 0,
            "weight": 20,
            "details": "No Content-Signal found (robots.txt or HTTP headers)"
          }
        }
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        "weight": 15,
        "grade": "C",
        "checks": {
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            "weight": 30,
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          "has_open_graph": {
            "score": 67,
            "weight": 25,
            "details": "2/3 OG tags present"
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          "has_meta_description": {
            "score": 100,
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        "checks": {
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            "score": 100,
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            "details": "Content available without JavaScript"
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            "score": 100,
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          "fast_content_position": {
            "score": 100,
            "weight": 30,
            "details": "Main content starts at 2% of HTML"
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  },
  "recommendations": [
    {
      "id": "add_llms_txt",
      "priority": "critical",
      "category": "aiDiscoverability",
      "titleKey": "rec.add_llms_txt.title",
      "descriptionKey": "rec.add_llms_txt.description",
      "howToKey": "rec.add_llms_txt.howto",
      "effort": "quick-win",
      "estimatedImpact": 10,
      "checkScore": 0,
      "checkDetails": "No llms.txt found"
    },
    {
      "id": "improve_content_ratio",
      "priority": "critical",
      "category": "contentEfficiency",
      "titleKey": "rec.improve_content_ratio.title",
      "descriptionKey": "rec.improve_content_ratio.description",
      "howToKey": "rec.improve_content_ratio.howto",
      "effort": "moderate",
      "estimatedImpact": 6,
      "checkScore": 0,
      "checkDetails": "Content ratio: 4.7% (5797 content chars / 124390 HTML bytes)"
    },
    {
      "id": "add_markdown_negotiation",
      "priority": "critical",
      "category": "aiDiscoverability",
      "titleKey": "rec.add_markdown_negotiation.title",
      "descriptionKey": "rec.add_markdown_negotiation.description",
      "howToKey": "rec.add_markdown_negotiation.howto",
      "effort": "significant",
      "estimatedImpact": 6,
      "checkScore": 0,
      "checkDetails": "No Markdown for Agents support detected"
    },
    {
      "id": "add_robots_txt",
      "priority": "critical",
      "category": "aiDiscoverability",
      "titleKey": "rec.add_robots_txt.title",
      "descriptionKey": "rec.add_robots_txt.description",
      "howToKey": "rec.add_robots_txt.howto",
      "effort": "quick-win",
      "estimatedImpact": 5,
      "checkScore": 0,
      "checkDetails": "No robots.txt found"
    },
    {
      "id": "add_sitemap",
      "priority": "critical",
      "category": "aiDiscoverability",
      "titleKey": "rec.add_sitemap.title",
      "descriptionKey": "rec.add_sitemap.description",
      "howToKey": "rec.add_sitemap.howto",
      "effort": "quick-win",
      "estimatedImpact": 5,
      "checkScore": 0,
      "checkDetails": "No sitemap found"
    },
    {
      "id": "add_content_signals",
      "priority": "critical",
      "category": "aiDiscoverability",
      "titleKey": "rec.add_content_signals.title",
      "descriptionKey": "rec.add_content_signals.description",
      "howToKey": "rec.add_content_signals.howto",
      "effort": "quick-win",
      "estimatedImpact": 5,
      "checkScore": 0,
      "checkDetails": "No Content-Signal found (robots.txt or HTTP headers)"
    },
    {
      "id": "remove_inline_styles",
      "priority": "critical",
      "category": "contentEfficiency",
      "titleKey": "rec.remove_inline_styles.title",
      "descriptionKey": "rec.remove_inline_styles.description",
      "howToKey": "rec.remove_inline_styles.howto",
      "effort": "moderate",
      "estimatedImpact": 3,
      "checkScore": 0,
      "checkDetails": "149/1202 elements with inline styles (12.4%)"
    },
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      "id": "add_schema_org",
      "priority": "high",
      "category": "structuredData",
      "titleKey": "rec.add_schema_org.title",
      "descriptionKey": "rec.add_schema_org.description",
      "howToKey": "rec.add_schema_org.howto",
      "effort": "moderate",
      "estimatedImpact": 6,
      "checkScore": 0,
      "checkDetails": "No JSON-LD / Schema.org found"
    },
    {
      "id": "add_semantic_elements",
      "priority": "high",
      "category": "semanticHtml",
      "titleKey": "rec.add_semantic_elements.title",
      "descriptionKey": "rec.add_semantic_elements.description",
      "howToKey": "rec.add_semantic_elements.howto",
      "effort": "moderate",
      "estimatedImpact": 5,
      "checkScore": 16,
      "checkDetails": "16 semantic elements, 310 divs (ratio: 5%)"
    },
    {
      "id": "add_open_graph",
      "priority": "medium",
      "category": "structuredData",
      "titleKey": "rec.add_open_graph.title",
      "descriptionKey": "rec.add_open_graph.description",
      "howToKey": "rec.add_open_graph.howto",
      "effort": "quick-win",
      "estimatedImpact": 4,
      "checkScore": 67,
      "checkDetails": "2/3 OG tags present"
    }
  ],
  "llmsTxtPreview": "# AgentPort\n\n> Convert your Shopify store, product catalog, or custom API into AI agent-ready MCP tools in 5 minutes. Works with Claude, ChatGPT, Chrome AI, and Google AI Mode.\n\n## Main\n- [AgentPort — MCP Infrastructure-as-a-Service](https://www.agentport.dev/): Convert your Shopify store, product catalog, or custom API into AI agent-ready MCP tools in 5 minutes. Works with Claud…\n\n",
  "llmsTxtExisting": null,
  "emergingProtocols": {
    "oauthDiscovery": {
      "exists": false,
      "url": "https://www.agentport.dev/.well-known/oauth-authorization-server"
    },
    "mcpServerCard": {
      "exists": false,
      "url": "https://www.agentport.dev/.well-known/mcp.json"
    },
    "a2aAgentCard": {
      "exists": false,
      "url": "https://www.agentport.dev/.well-known/agent.json"
    },
    "count": 0
  },
  "snippets": [
    {
      "id": "add_llms_txt",
      "title": "Create /llms.txt",
      "description": "Upload this file to your web root. It tells AI agents what your site is about and which pages matter.",
      "language": "markdown",
      "code": "# AgentPort\n\n> Convert your Shopify store, product catalog, or custom API into AI agent-ready MCP tools in 5 minutes. Works with Claude, ChatGPT, Chrome AI, and Google AI Mode.\n\n## Main\n- [AgentPort — MCP Infrastructure-as-a-Service](https://www.agentport.dev/): Convert your Shopify store, product catalog, or custom API into AI agent-ready MCP tools in 5 minutes. Works with Claud…\n\n",
      "filename": "/llms.txt"
    },
    {
      "id": "add_open_graph",
      "title": "Add missing Open Graph tags",
      "description": "Open Graph tags control how your page looks when shared on social media and how AI platforms preview your URL in answers.",
      "language": "html",
      "code": "<meta property=\"og:image\" content=\"https://yoursite.com/og-image.jpg\">\n<meta property=\"og:url\" content=\"https://www.agentport.dev/\">\n<meta property=\"og:type\" content=\"website\">",
      "filename": "<head>",
      "stacks": [
        {
          "id": "html",
          "label": "HTML <head>",
          "language": "html",
          "filename": "<head>",
          "code": "<meta property=\"og:image\" content=\"https://yoursite.com/og-image.jpg\">\n<meta property=\"og:url\" content=\"https://www.agentport.dev/\">\n<meta property=\"og:type\" content=\"website\">"
        },
        {
          "id": "wordpress",
          "label": "WordPress",
          "language": "php",
          "filename": "functions.php",
          "code": "<?php\n// Quick Open Graph tags without a plugin (skip if Yoast / Rank Math is active)\nadd_action('wp_head', function () {\n    if (!is_singular()) return;\n    $post = get_queried_object();\n    $title = get_the_title($post);\n    $desc  = get_the_excerpt($post) ?: wp_trim_words(strip_tags($post->post_content), 30);\n    $image = get_the_post_thumbnail_url($post, 'large') ?: 'https://yoursite.com/og-image.jpg';\n    $url   = get_permalink($post);\n    printf('<meta property=\"og:title\" content=\"%s\">' . \"\\n\", esc_attr($title));\n    printf('<meta property=\"og:description\" content=\"%s\">' . \"\\n\", esc_attr($desc));\n    printf('<meta property=\"og:image\" content=\"%s\">' . \"\\n\", esc_url($image));\n    printf('<meta property=\"og:url\" content=\"%s\">' . \"\\n\", esc_url($url));\n    echo '<meta property=\"og:type\" content=\"article\">' . \"\\n\";\n}, 5);"
        },
        {
          "id": "nextjs",
          "label": "Next.js",
          "language": "typescript",
          "filename": "app/page.tsx",
          "code": "// Next.js App Router — Metadata API\nimport type { Metadata } from 'next';\n\nexport const metadata: Metadata = {\n  title: \"AgentPort — MCP Infrastructure-as-a-Service\",\n  description: \"Convert your Shopify store, product catalog, or custom API into AI agent-ready MCP tools in 5 minutes.\",\n  openGraph: {\n    title: \"AgentPort — MCP Infrastructure-as-a-Service\",\n    description: \"Convert your Shopify store, product catalog, or custom API into AI agent-ready MCP tools in 5 minutes.\",\n    url: \"https://www.agentport.dev/\",\n    images: [\"https://yoursite.com/og-image.jpg\"],\n    type: 'website',\n  },\n};"
        }
      ]
    },
    {
      "id": "add_schema_org",
      "title": "Add Schema.org JSON-LD",
      "description": "Structured data helps AI agents understand the type, author, and purpose of your content.",
      "language": "html",
      "code": "<script type=\"application/ld+json\">\n{\n  \"@context\": \"https://schema.org\",\n  \"@type\": \"WebPage\",\n  \"name\": \"AgentPort — MCP Infrastructure-as-a-Service\",\n  \"description\": \"Convert your Shopify store, product catalog, or custom API into AI agent-ready MCP tools in 5 minutes. Works with Claude, ChatGPT, Chrome AI, and Google AI Mode.\",\n  \"url\": \"https://www.agentport.dev/\",\n  \"inLanguage\": \"en\",\n  \"isPartOf\": {\n    \"@type\": \"WebSite\",\n    \"name\": \"AgentPort\"\n  }\n}\n</script>",
      "filename": "<head>"
    },
    {
      "id": "add_robots_txt",
      "title": "Create /robots.txt",
      "description": "A robots.txt file tells crawlers (including AI bots) what they can and cannot access.",
      "language": "txt",
      "code": "User-agent: *\nAllow: /\n\nSitemap: https://www.agentport.dev/sitemap.xml",
      "filename": "/robots.txt"
    },
    {
      "id": "add_sitemap",
      "title": "Create /sitemap.xml",
      "description": "A sitemap helps AI agents discover all your pages. Most CMS platforms generate one automatically.",
      "language": "xml",
      "code": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<urlset xmlns=\"http://www.sitemaps.org/schemas/sitemap/0.9\">\n  <url>\n    <loc>https://www.agentport.dev/</loc>\n    <lastmod>2026-05-18</lastmod>\n  </url>\n</urlset>",
      "filename": "/sitemap.xml"
    },
    {
      "id": "add_content_signals",
      "title": "Add Content-Signal directives",
      "description": "Content-Signal tells AI agents how they may use your content. The canonical location is robots.txt, but you can also expose it as an HTTP header from any stack.",
      "language": "txt",
      "code": "User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no",
      "filename": "/robots.txt",
      "stacks": [
        {
          "id": "robots",
          "label": "robots.txt",
          "language": "txt",
          "filename": "/robots.txt",
          "code": "User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no"
        },
        {
          "id": "nginx",
          "label": "Nginx",
          "language": "nginx",
          "filename": "server block",
          "code": "# Inside your server { } block:\nadd_header Content-Signal \"search=yes, ai-input=yes, ai-train=no\" always;"
        },
        {
          "id": "apache",
          "label": "Apache",
          "language": "apache",
          "filename": ".htaccess",
          "code": "# In .htaccess (or VirtualHost):\nHeader set Content-Signal \"search=yes, ai-input=yes, ai-train=no\""
        },
        {
          "id": "wordpress",
          "label": "WordPress",
          "language": "php",
          "filename": "functions.php",
          "code": "<?php\n// In your theme's functions.php or a small mu-plugin\nadd_action('send_headers', function () {\n    header('Content-Signal: search=yes, ai-input=yes, ai-train=no');\n});\n\n// Optional: also append the directive to the dynamic robots.txt\nadd_filter('robots_txt', function ($output) {\n    return $output . \"\\nContent-Signal: search=yes, ai-input=yes, ai-train=no\\n\";\n}, 10, 1);"
        },
        {
          "id": "nextjs",
          "label": "Next.js",
          "language": "typescript",
          "filename": "middleware.ts",
          "code": "// middleware.ts (Next.js 13+ App Router or Pages Router)\nimport { NextResponse } from 'next/server';\nexport function middleware() {\n  const res = NextResponse.next();\n  res.headers.set(\n    'Content-Signal',\n    'search=yes, ai-input=yes, ai-train=no'\n  );\n  return res;\n}\nexport const config = { matcher: '/:path*' };"
        },
        {
          "id": "cloudflare",
          "label": "Cloudflare Workers",
          "language": "javascript",
          "filename": "worker.js",
          "code": "// Cloudflare Worker that proxies your origin and adds the header\nexport default {\n  async fetch(request, env, ctx) {\n    const res = await fetch(request);\n    const newRes = new Response(res.body, res);\n    newRes.headers.set(\n      'Content-Signal',\n      'search=yes, ai-input=yes, ai-train=no'\n    );\n    return newRes;\n  },\n};"
        },
        {
          "id": "express",
          "label": "Express / Fastify",
          "language": "javascript",
          "filename": "server.js",
          "code": "// Express\napp.use((req, res, next) => {\n  res.setHeader('Content-Signal', 'search=yes, ai-input=yes, ai-train=no');\n  next();\n});\n\n// Fastify\nfastify.addHook('onSend', (request, reply, payload, done) => {\n  reply.header('Content-Signal', 'search=yes, ai-input=yes, ai-train=no');\n  done();\n});"
        }
      ]
    },
    {
      "id": "add_markdown_negotiation",
      "title": "Support Markdown for Agents",
      "description": "Let AI agents request a clean Markdown version of any page via content negotiation, .md alternate URLs, link tags or Link headers.",
      "language": "html",
      "code": "<!-- Mechanism 3: link tag advertising the .md alternate -->\n<link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">",
      "filename": "<head>",
      "stacks": [
        {
          "id": "html",
          "label": "HTML <head>",
          "language": "html",
          "filename": "<head>",
          "code": "<!-- Mechanism 3: link tag advertising the .md alternate -->\n<link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">"
        },
        {
          "id": "express",
          "label": "Express",
          "language": "javascript",
          "filename": "server.js",
          "code": "// Mechanisms 1 + 4: content negotiation + Link header\napp.get('/page', (req, res) => {\n  res.setHeader('Vary', 'Accept');\n  res.setHeader('Link', '</page.md>; rel=\"alternate\"; type=\"text/markdown\"');\n  if ((req.headers.accept || '').includes('text/markdown')) {\n    res.type('text/markdown; charset=utf-8');\n    return res.send(renderMarkdown('page'));\n  }\n  res.render('page');\n});"
        },
        {
          "id": "fastify",
          "label": "Fastify",
          "language": "javascript",
          "filename": "server.js",
          "code": "// Mechanisms 1 + 4: content negotiation + Link header\nfastify.get('/page', async (req, reply) => {\n  reply.header('Vary', 'Accept');\n  reply.header('Link', '</page.md>; rel=\"alternate\"; type=\"text/markdown\"');\n  if ((req.headers.accept || '').includes('text/markdown')) {\n    return reply.type('text/markdown; charset=utf-8').send(renderMarkdown('page'));\n  }\n  return reply.view('/page.ejs');\n});"
        },
        {
          "id": "nextjs",
          "label": "Next.js",
          "language": "typescript",
          "filename": "app/page/route.ts",
          "code": "// Next.js App Router — Route Handler returning Markdown\nimport { NextRequest } from 'next/server';\nimport { renderMarkdown } from '@/lib/md';\nexport async function GET(req: NextRequest) {\n  const accept = req.headers.get('accept') || '';\n  if (accept.includes('text/markdown')) {\n    return new Response(await renderMarkdown('page'), {\n      headers: {\n        'Content-Type': 'text/markdown; charset=utf-8',\n        'Vary': 'Accept',\n      },\n    });\n  }\n  // Fall through to the page component\n  return new Response(null, { status: 404 });\n}"
        },
        {
          "id": "wordpress",
          "label": "WordPress",
          "language": "php",
          "filename": "functions.php",
          "code": "<?php\n// Mechanism 1: respond to Accept: text/markdown on the same URL\nadd_action('template_redirect', function () {\n    if (!is_singular()) return;\n    $accept = $_SERVER['HTTP_ACCEPT'] ?? '';\n    if (strpos($accept, 'text/markdown') === false) return;\n    header('Content-Type: text/markdown; charset=utf-8');\n    header('Vary: Accept');\n    $post = get_queried_object();\n    echo \"# \" . get_the_title($post) . \"\\n\\n\";\n    echo wp_strip_all_tags(apply_filters('the_content', $post->post_content));\n    exit;\n});"
        },
        {
          "id": "static",
          "label": "Hugo / Jekyll / Astro",
          "language": "txt",
          "filename": "static/page.md",
          "code": "# Mechanism 2: serve .md alongside .html\n# Hugo: place page.md in /static/ — built unchanged\n# Jekyll: drop page.md in /assets/ — copied as-is\n# Astro: src/pages/page.md.ts that exports a GET returning markdown\n\n# Then advertise with mechanism 3 in <head>:\n#   <link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">"
        }
      ]
    }
  ]
}

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